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Generalization Bounds

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TitleStatusHype
Towards Data-Algorithm Dependent Generalization: a Case Study on Overparameterized Linear Regression—0
Generalization Bounds via Convex Analysis—0
Improved Information Theoretic Generalization Bounds for Distributed and Federated Learning—0
Generalization in Cooperative Multi-Agent Systems—0
With Greater Distance Comes Worse Performance: On the Perspective of Layer Utilization and Model Generalization—0
Fast Interpretable Greedy-Tree SumsCode1
Generalization in Supervised Learning Through Riemannian Contraction—0
On generalization bounds for deep networks based on loss surface implicit regularizationCode0
Stability Based Generalization Bounds for Exponential Family Langevin Dynamics—0
BARACK: Partially Supervised Group Robustness With Guarantees—0
Efficient and Reliable Overlay Networks for Decentralized Federated Learning—0
Generalization Error Bounds for Iterative Recovery Algorithms Unfolded as Neural Networks—0
Towards Sharper Generalization Bounds for Structured Prediction—0
Generalization Bounds for (Wasserstein) Robust Optimization—0
Generalization Guarantee of SGD for Pairwise Learning—0
Simple Stochastic and Online Gradient Descent Algorithms for Pairwise Learning—0
Generalization Bounds for Graph Embedding Using Negative Sampling: Linear vs Hyperbolic—0
On Predicting Generalization using GANs—0
Time-independent Generalization Bounds for SGLD in Non-convex Settings—0
Simple Stochastic and Online Gradient DescentAlgorithms for Pairwise LearningCode0
Personalized Federated Learning through Local MemorizationCode1
Learning Provably Robust Motion Planners Using Funnel Libraries—0
Understanding the Generalization Benefit of Model Invariance from a Data PerspectiveCode0
Towards a Unified Information-Theoretic Framework for Generalization—0
Learning on Random Balls is Sufficient for Estimating (Some) Graph Parameters—0
Improving Generalization Bounds for VC Classes Using the Hypergeometric Tail InversionCode0
PAC-Bayesian Learning of Aggregated Binary Activated Neural Networks with Probabilities over Representations—0
Does the Data Induce Capacity Control in Deep Learning?Code0
SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event DataCode1
Optimizing Information-theoretical Generalization Bounds via Anisotropic Noise in SGLD—0
Quantum Boosting using Domain-Partitioning HypothesesCode0
Integrated Conditional Estimation-Optimization—0
UniFed: A Unified Framework for Federated Learning on Non-IID Image Features—0
Explaining generalization in deep learning: progress and fundamental limits—0
Block Contextual MDPs for Continual Learning—0
Learning from non-irreducible Markov chains—0
Information-theoretic generalization bounds for black-box learning algorithmsCode0
Information-Theoretic Characterization of the Generalization Error for Iterative Semi-Supervised LearningCode0
Information-Theoretic Generalization Bounds for Iterative Semi-Supervised Learning—0
Task Relatedness-Based Generalization Bounds for Meta Learning—0
Improved Generalization Bound for Deep Neural Networks Using Geometric Functional Analysis—0
Two Regimes of Generalization for Non-Linear Metric Learning—0
Boosting the Confidence of Near-Tight Generalization Bounds for Uniformly Stable Randomized Algorithms—0
Improved Generalization Risk Bounds for Meta-Learning with PAC-Bayes-kl Analysis—0
Huber Additive Models for Non-stationary Time Series Analysis—0
Theoretical Analysis of Consistency Regularization with Limited Augmented Data—0
Theoretical understanding of adversarial reinforcement learning via mean-field optimal control—0
High Probability Generalization Bounds for Minimax Problems with Fast Rates—0
Fairness-aware Federated Learning—0
Optimization and Adaptive Generalization of Three layer Neural Networks—0
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